CN107708561A - Index equipment leading out, wearable device and portable set - Google Patents
Index equipment leading out, wearable device and portable set Download PDFInfo
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- CN107708561A CN107708561A CN201680034191.0A CN201680034191A CN107708561A CN 107708561 A CN107708561 A CN 107708561A CN 201680034191 A CN201680034191 A CN 201680034191A CN 107708561 A CN107708561 A CN 107708561A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1124—Determining motor skills
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/22—Ergometry; Measuring muscular strength or the force of a muscular blow
- A61B5/224—Measuring muscular strength
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P15/00—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
- G01P15/02—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration by making use of inertia forces using solid seismic masses
- G01P15/04—Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration by making use of inertia forces using solid seismic masses for indicating maximum value
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P7/00—Measuring speed by integrating acceleration
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6823—Trunk, e.g., chest, back, abdomen, hip
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6824—Arm or wrist
Abstract
Perform and sit quietly to (STS) operation of standing while device (MD) comprising acceleration transducer (11) is worn in front the present invention relates to tester.The present invention by obtained from the signal for representing acceleration size peak acceleration Value Data let others have a look at come derived table body muscle strength muscle strength index (maximum acceleration value of per unit muscle quality during STS activities), acceleration therein includes three axis components in the acceleration that detects, and using peak acceleration Value Data and tests the muscle quality or body fat mass of subject.
Description
Technical field
The present invention relates to index equipment leading out, wearable device and mobile device.
Background technology
Motion as the physical intensity for assessing subject, it is known that STS (sit quietly to stand) motions, it is also claimed
For (stand-up-from-a-chair) motion of being stood up from chair.STS motions refer to the center of gravity of subject's body weight from relatively
Low support floors are moved to the motion of of a relatively high position.
In non-patent literature 1 identified below, it is proposed that in hip, knee and the multiple torques of ankle in STS actions
Among relation general introduction, which reports regardless of subject STS action in stand, the hip joint and knee of health volunteer
The torque summation in joint shows steady state value (1.53Nm/kg), and does not almost have between the summation and the torque of ankle
There is correlation.According to another report, if the torque sum in STS motions at hip joint and knee joint is less than above-mentioned steady state value,
Suspect that the standability of subject has problem, this demonstrates the need for carrying out appropriate exercise treatment to prevent from tired crouching in bed and promoting
Make rehabilitation.
Non-patent literature
Non-patent literature 1：Shinsuke Yoshioka et al., Computation of kinematics and the
Minimum Peak Joint moments of sit-to-stand movements (close by the smallest peaks sat quietly to motion of standing
Save torque and kinematic calculating), BioMedical Engineering OnLine (biomedical engineering is online) 2007,6：
26, page 1-14 (can be from URL<http://www.biomedical-engineering-online.com/content/6/1/26
>)
The content of the invention
Technical problem
According to the method described in non-patent literature 1, reflecrtive mark is individually positioned on the hip and knee of subject,
Using the movement of those parts in high-sensitivity camera monitoring STS movements with reflecrtive mark, and led according to the equation of motion
Go out the torque of these actions.It is academic article to be partly because non-patent literature 1, and a kind of device is established in trial, and it allows to pass through
The mode of the method for needs some equipment discussed using it carries out the measurement of physical intensity so that the device it is expensive (because
This is impracticable).
For such background, it is an object of the invention to provide a kind of index equipment leading out, wearable device and shifting
Dynamic equipment, it allows to measure the physical intensity of human body using simple configuration.
Solution to problem
According to an aspect of the present invention, a kind of index equipment leading out includes：Acceleration transducer, it, which is used to sense, accelerates
Degree；And computation processor, it is used to come the muscle strength for exporting human body have based on the sensing result for carrying out acceleration sensor
The muscle strength index of pass.
Specifically, for example, computation processor can export muscle strength index based on acceleration signal, acceleration letter
Number based in the assessment phase that predetermined motion is performed in human body come the sensing result of acceleration sensor.
More specifically, for example, computation processor can be by using the acceleration maximum number included in acceleration signal
According to exporting muscle strength index.
Again specifically, for example, computation processor can export muscle strength index by using data below：Acceleration
The body fat rate of maximum value data, the body weight of human body and human body；Or the body weight of acceleration maximum value data, human body and the body fat of human body
Fat quality.
For another example computation processor can export muscle strength index by using data below：Acceleration maximum
The muscle percentage of data, the body weight of human body and human body；Or the muscle quality of acceleration maximum value data and human body.
Then, for example, muscle strength index exporter, which can export, is making a reservation for the per unit muscle mass of human body on the move
Acceleration maximum as muscle strength index.
In another example, it is assumed that the acceleration that acceleration transducer senses includes the acceleration caused by the motion of human body point
Amount and the component of acceleration caused by gravity, then computation processor can be subtracted by using from acceleration maximum value data
The component of acceleration caused by gravity and the value that obtains export muscle strength index.
For another example acceleration transducer can sense acceleration respectively along three orthogonal axles, and for leading
Go out the big of the acceleration that the acceleration signal of muscle strength index can represent to be formed by the acceleration along three axis
It is small.
In another example predetermined motion can include the motion that human body stands up.
According to another aspect of the present invention, wearable device includes index equipment leading out as described above.
According to a further aspect of the invention, mobile device includes index equipment leading out as described above.
Beneficial effects of the present invention
In accordance with the invention it is possible to provide a kind of index equipment leading out, wearable device and mobile device, it allows to utilize
It is simple to configure to measure the physical intensity of human body.
Brief description of the drawings
Figure 1A and Figure 1B is the schematic diagram for the structure for representing the measuring apparatus according to the first embodiment of the present invention；
Fig. 2 is to show that the sensing equipment in Figure 1A is attached to the schematic diagram of subject；
Fig. 3 is the configuration schematic diagram of the functional block of the measuring apparatus MD in Figure 1A；
Fig. 4 be three axles of the acceleration transducer in the measuring apparatus in Figure 1A are shown and the acceleration that detects to
The schematic diagram of amount；
Fig. 5 is the schematic diagram for the subject for showing that evaluation is upright after acting；
Fig. 6 is the schematic diagram for showing to assess motion；
Fig. 7 is the oscillogram of the acceleration absolute value signal based on the testing result for carrying out acceleration sensor；
Fig. 8 is the oscillogram of signal obtained from being filtered for the acceleration absolute value signal in Fig. 7；
Fig. 9 is the figure for representing primary signal and the relation of filtering signal；
Figure 10 is to represent to be directed to index (P derived from multiple subjects1) with the age along transverse axis distribution signal
Figure；
Figure 11 is to represent to be directed to index (P derived from multiple subjects2) with the age along transverse axis distribution signal
Figure；
Figure 12 is the schematic diagram for the idiographic flow using example for representing measuring apparatus；
Figure 13 is the schematic diagram for showing wireless connection measuring apparatus together and terminal device；And
Figure 14 is the schematic diagram of presentation class.
Embodiment
Below, embodiments of the invention will be described in reference to the drawings.Below with reference to accompanying drawing among, identical part leads to
Identical reference is crossed to represent, and the overlapping description for same parts will not be repeated in principle.In this specification
In, for the purpose of simplifying the description, sometimes by the symbol and other names relevant on information, signal, physical quantity, component etc. with it is corresponding
Information, signal, physical quantity, the title of component etc. and omission or abbreviation be used together.
<<First embodiment>>
The first embodiment of the present invention will be described.The present embodiment is related to a kind of measuring apparatus, and it is used for light and handy and cheap
Mode assess muscle strength of subject etc. (then will discuss muscle strength importance).It is although public in non-patent literature 1
The method opened needs at least two points of observation, and measuring apparatus described here can assess flesh using single acceleration transducer
Meat intensity etc..It is believed that according in the method for non-patent literature 1 two places (buttocks and knee) perform monitoring, with
The monitoring of equivalence can be held by measuring acceleration at a part for body suitably with single acceleration transducer
OK, a part for wherein body shows the relevance with buttocks and knee torque sum, and front is most suitable or suitable
A part as the body.On the other hand, in STS motions, it is important that people advantageously only utilize the strength of the lower part of the body
Stand up.Therefore, most suitable or suitable method is：Using being attached to the arm or chest of (for example, being close to) in subject
On acceleration transducer, measure forearm pectoral crosses in the case of effectively stand up motion in acceleration.
It will now be described by using such motion to measure the structure of the measuring apparatus of muscle strength etc..Figure 1A is root
According to the measuring apparatus MD of the present embodiment external side view.Figure 1B is to show showing for structure inside measuring apparatus MD housing 3
It is intended to.Measuring apparatus MD includes parts group 1, circuit board 2, housing 3 and attachment strip 4.It is considered that attachment strip 4 is not included in survey
In the element for measuring equipment MD.The electronic unit of component parts group 1 is installed on the circuit board 2.Parts group 1 is installed thereon
Circuit board 2 be received and be fastened to housing 3, housing 3 is made up of resin or metal and has predetermined shape.Housing 3 can have
There is any outer shape；For example, it can have the shape of cylinder or cuboid.Here, in order to clearly describe, it is assumed that shell
3 be cylinder.
Housing 3 is provided with usually annular attachment strip 4.Attachment strip 4 by such as rubber, resin, metal or those in
More than one combination formed.Attachment strip 4 is set to allow the housing 3 for wherein having parts group 1 and circuit board 2 being attached simultaneously
And it is fastened to the human body as subject.Here, in order to illustrate, it is assumed that as shown in Fig. 2 measuring apparatus MD is as watch or wrist
Band is equally wound using wrist of the attachment strip 4 around subject.Therefore, a face (one in the base portion of drum for housing 3
Individual base portion) keep being in close contact and being fastened to the wrist with subject.However, it is also possible in the situation without using attachment strip 4
Under, housing 3 is in close contact and is fastened to the chest of subject so that a face of housing 3 and the skin of subject's chest are straight
Contact.
Fig. 3 is the configuration schematic diagram of parts group 1.Parts group 1 includes acceleration transducer 11 and computation processor 12.Except
Outside the component for forming acceleration transducer 11 and computation processor 12, various parts can be installed on the circuit board 2 and held
It is contained in housing 3.Although being not explicitly depicted, such as circuit board 2 is may be mounted at for providing the power circuit of supply voltage,
For driving acceleration transducer 11 and computation processor 12, and for supplying the battery of electric power to power circuit (for example, lithium
Ion battery) it can be contained in housing 3.
Acceleration transducer 11 is 3-axis acceleration sensor, and it is sensed by acceleration respectively along X-axis, Y-axis and Z-direction
Acceleration caused by sensor 11 (therefore shell 3 or measuring apparatus MD) is mobile.When housing 3 keeps closely connecing with subject
When touching and being fixed to subject, acceleration transducer 11 is fixed on the precalculated position inside housing 3；Therefore by acceleration sensing
The acceleration that device 11 senses includes the acceleration as caused by the motion (movement) of subject.As shown in figure 4, X-axis, Y-axis, Z axis
It is mutually perpendicular to.Acceleration transducer 11 can sense acceleration as vector, and the conduct sensed by acceleration transducer 11
The acceleration of vector is referred to as acceleration.In Fig. 4, vector VEC represents to be formed by the acceleration of X-axis, Y-axis, Z-direction
Acceleration.It is, the X-axis of acceleration, Y-axis and z-component are the X that acceleration transducer 11 senses respectively
The acceleration on the acceleration and Z-direction on acceleration, Y direction on direction of principal axis.
Computation processor 12 is including microcomputer etc., and the acceleration that can be sensed based on acceleration transducer 11
Muscle strength of subject etc. is assessed and exported to (hereinafter also referred to as the acceleration that senses).Computation processor 12 can be with shape
As semiconductor integrated circuit.
The method that the muscle strength for assessing and exporting subject etc. will now be described.Based on feeling during the predetermined estimation phase
The acceleration measured, predetermined estimation phase therein include the period that subject performs predetermined assessment motion, measuring apparatus MD energy
Enough assess and export muscle strength of subject etc..
It is STS motions to assess motion, and wherein subject stands up from the posture being sitting in the seated surface of chair, and predetermined face
For erect posture.Chair can have the seated surface in any height；However, when subject is sitting in the seated surface of chair
When upper, the sole of subject's both feet should contact at heel and toe with ground.For example, the seated surface of chair has subject
The 20%~30% of height.In motion is assessed, subject is in the case of forearm pectoral crosses, with all one's effort taking one's seat from chair
Face stands.Fig. 5 is the front schematic view of the subject just to have stood up.Fig. 6 is the simplification schematic side of subject during assessing
Figure.
In the present embodiment, the hand of a face of housing 3 (pedestal in the pedestal of drum) and subject
Wrist keeps contacting and being fastened to the wrist of subject.Therefore, in the case of arm pectoral crosses, acceleration transducer 11 is usual
Positioned at the fixed position of subject front.Assessing motion can perform in the case where housing 3 is located at fixed position so that housing
Directly directly contacted with the chest of subject.It is, in motion is assessed, the housing 3 of acceleration transducer 11 will be accommodated
(or acceleration transducer 11 itself) attachment (such as close contact) is on the arm or chest of subject, and subject is with all strength
Stood from the seated surface of chair.
In STS motions, acceleration mainly changes in vertical direction, and the acceleration change in vertical direction includes reflection
The information of the muscle strength of subject.But how subject is attached to according to housing 3, X-axis, Y in acceleration transducer 11
The relation of axle, Z-direction and vertical direction is likely to change in a different manner.Therefore, in measuring unit MD, instead of independent
The acceleration in X-axis, Y-axis and Z-direction is assessed, is assessed for the size of acceleration.The size of acceleration
Referred to as acceleration absolute value, it is referred to as acceleration absolute value signal using acceleration absolute value as the signal of its signal value.At this
In embodiment, unless otherwise indicated, acceleration absolute value is understood to the acceleration absolute value during assessment, and acceleration
Absolute value signal is understood to be in assess during signal using acceleration absolute value as its signal value.
The waveform for the acceleration absolute value signal 510 that Fig. 7 shows to observe when subject performs and assesses and move (changes speech
It, the signal waveform of acceleration absolute value).In Fig. 7 curve map, transverse axis represents the time, and the longitudinal axis represents the absolute of acceleration
Value (same for Fig. 8 for then referring to).The subject for sending signal 510 is no any handicapped person, and it is generally in STS
Shown as in motion：Before when buttocks leaves chair and immediately testee stands, its acceleration absolute value has big change.
In Fig. 7, the period that signal 511 occurs leaves the period of chair corresponding to buttocks, and after a while, the period of signal 512 occurs
Corresponding to the period before immediately stopping uprightly.Before in the period of signal 511 occurs, acceleration absolute value generally remains in
9.8m/s2Period be period (for example, subject is sitting in the period rested on chair) before subject stands up from chair.
Acceleration transducer 11 is configured to sense the sensor of the acceleration caused by gravity, therefore, in subject from chair
In the period stood (for example, subject is sitting in the period rested on chair), acceleration transducer 11 only senses gravity acceleration
Degree.
In the present embodiment, the sample frequency of acceleration transducer 11 (that is, periodically senses the sense period of acceleration
Inverse) be arranged on 200Hz (hertz) place.The sample frequency of acceleration transducer 11 can be arranged on different from 200Hz,
In this case, the filtering described below can be optimized according to sample frequency.
Generally, acceleration transducer 11 is to outside noise-sensitive；Even if housing 3 is securely fixed on chest or arm,
It also can sensitively react even for clothing rustle and skin movements.In consideration of it, in measuring apparatus MD, represent
The acceleration absolute value signal of the same acceleration sensed by acceleration transducer 11 is after filtering.This filtering is for adding
The LPF of speed absolute value signal, therefore the component of signal of lower frequency is attenuated, and the component of signal of upper frequency
Pass through.In this embodiment, the low pass filtered including the use of quadravalence Butterworth (Butterworth) lowpass digital filter is filtered
Ripple, and the cut-off frequency of LPF is arranged at 5Hz.
Figure 8 illustrates the acceleration absolute value shown in for Fig. 7 as the acceleration absolute value signal before filtering
Signal 520 is filtered the waveform of obtained signal, that is, the waveform of the acceleration absolute value signal 520 after filtering.
In the following description, for simple and clear description, as shown in Figure 9, the acceleration absolute value signal before filtering, such as add
Speed absolute value signal 510, it is referred to as primary signal, and the acceleration absolute value signal after filtering, as acceleration is absolute
Value signal 520, is referred to as filtering signal.The signal value of primary signal or filtering signal is acceleration absolute value.
During assessment, the acceleration absolute value as the signal value of filtering signal generally keeps steady state value (9.8m/ first
s2), then leave and increased near the time point of chair up to the first extreme value in subject's buttocks；Then it is reduced to up to steady state value,
Then further reduce, reach secondary extremal near the time point before immediately subject stops uprightly；Hereafter it is increased to
Steady state value.
First extreme value is the maximum signal level of filtering signal during assessing, referred to as acceleration maximum value data.In Fig. 8 institutes
In the example shown, acceleration maximum value data is about 14.3m/s2.Second extreme value is the minimum letter of filtering signal during assessing
Number value, referred to as acceleration minimum Value Data.In the example depicted in fig. 8, acceleration maximum value data is about 5.0m/s2.For
Filtering signal, signal value is equal to the time point of first extreme value and signal value is equal to time between the time point of second extreme value
Difference is represented (use that Δ t will be discussed later) by Δ t.
The sensing acceleration for carrying out acceleration sensor 11 includes static component and inertial component.Static component include due to
Component of acceleration caused by gravity and the component of acceleration caused by the external force in addition to being moved except testee.It is assumed here that
Measuring apparatus MD is used on earth, and the size of the component of acceleration caused by gravity is equal to 9.8m/s2.Much less,
Acceleration of gravity acts on vertical direction.Inertial component is due to subject motion and caused component of acceleration, is STS motions
In necessary component.In common STS motions, it will be understood that no external force acts on and gravity is constant；Therefore,
It can be seen that inertial component, which is equal to the acceleration sensed, subtracts the component of acceleration caused by gravity.
Computation processor 12 is included for primary signal application filtering to generate the wave filter (not shown) of filtering signal, and
And based on the filtering signal based on primary signal during the period is assessed, various relevant with the muscle strength of subject etc. of export
Index.Wave filter, which may not be, to be arranged in computation processor 12, and is inserted into acceleration transducer 11 and is handled with calculating
Between device 12.
[export index P1]
Index P can be included based on index derived from filtering signal1.Index P1Such as it is given by：
P1=(acceleration maximum value data-acceleration of gravity)/(body weight × muscle percentage),
It is,
P1=(ACCMAX-9.8)(WEIGHT×MSPER). (1A)
Here, ACCMAXRepresent with m/s2For the acceleration maximum value data of unit, WEIGHT represents the body weight of subject,
MSPERRepresent the muscle percentage of subject.Because the muscle percentage of subject indicates that the muscle weight of subject accounts for subject
The ratio of body weight, so index P1It can also be expressed as：
P1=(acceleration maximum value data-acceleration of gravity)/muscle quality.
That is, formula (1A) can be rewritten as following formula (1B)：：
P1=(ACCMAX-9.8)/MSAMT. (1B)
Herein, MSAMTRepresent the muscle quality (that is, the weight of contained muscle in subject's body) of subject.
Computation processor 12 can export index P according to formula (1A) or formula (1B)1.It is assumed that when according to formula (1A)
Or (1B) export index P1When, in advance by the body weight WEIGHT of subject and muscle percentage MSPEROr the flesh of subject
Meat quality MSAMTIt is fed to computation processor 12.
It is inconvenient that generally it is not easy to learn accurate muscle percentage or muscle quality.However, if we assume that people
Body is formed by " muscle ", " fat " and " bone and organ ", and " bone and organ " in subject no matter they
Body composition how not to be both it is constant, then can be by using the body fat rate or body fat matter for being easier to measure and obtaining
Amount rather than muscle percentage or muscle quality draw index P1。
Specifically, such as computation processor 12 can export index P according to formula (2A) or formula (2B)1。
P1=(ACCMAX-9.8)-WEIGHT×(1-BFPER) (2A)
P1=(ACCMAX-9.8)-(WEIGHT-BFAMT) (2B)
Here, BFPERRepresent the body fat rate of subject, BFAMTRepresent body fat mass (that is, subject's body of subject
The weight of interior contained body fat).Therefore, in formula (2A) and (2B), for simplicity, ignore " bone and organ "
Weight.It is assumed that when according to formula (2A) or (2B) export index P1When, in advance by the body weight WEIGHT and body fat of subject
Rate BFPEROr the body weight WEIGHT and body fat mass BF of subjectAMTIt is fed to computation processor 12.
For another example computation processor 12 can export index P according to formula (2C) or (2D)1。
P1=(ACCMAX-9.8)-WEIGHT×(1-BFPER-KA1) (2C)
P1=(ACCMAX-9.8)/(WEIGHT-BFAMT-KA2) (2D)
Here, KA1The weight of " bone and the organ " that represents to be defined previously as indicating to include in subject's body accounts for subject
The value of the ratio of body weight.KA2Expression is defined previously as the value of the weight of " bone and the organ " that is included in expression subject's body.
In addition in this, it is assumed that when according to formula (2C) or (2D) export index P1In the case of, in advance by the body weight of subject
WEIGHT and body fat rate BFPEROr the body weight WEIGHT and body fat mass BF of subjectAMTIt is fed to computation processor 12.
In formula (1A), (1B) and (2A)~(2D), the denominator on right side represent the muscle quality of subject in itself or
The approximation of the muscle quality of subject.Therefore, index P1Represent the unit of the testee in as the STS motions for assessing motion
The acceleration maximum of muscle mass, and this is referred to as muscle strength.Muscle strength depends on the muscle strength of subject, therefore
Index that can be related as the muscle strength (muscle strength index) to subject is grasped.Muscle strength is roughly divided into continuously
The muscle power of work and the muscle power (that is, explosive force) instantaneously to work, the muscle of the result perceived based on acceleration
Intensity is considered to belong to the latter.
Index P1It is understood to indicate the service efficiency of muscle, rather than the size of muscle quality.That is, high target
P1Represent effective use of muscle；It is therefore contemplated that high target P1Point to outstanding muscle strength.For example, even if flesh on surface
The flourishing people of meat, if showing low index P1, it is also possible to not operatively utilize their muscle.According to such as formula
(2A) etc. derives index P1In the case of, body weight is relatively heavy or body fat rate be more difficult to obtain than other people than relatively low people it is high
Index index P1.In this case, for the people that body weight is relatively heavy or body fat rate is relatively low, in order to produce index
P1Relevant is good, and they need to obtain higher acceleration maximum (that is, they need quickly to stand than other people
Get up).
Figure 10 is shown on index P1The result of the experiment of execution.In these experiments, multiple subjects, which perform, assesses fortune
It is dynamic, and for each subject, index P is exported through the above way1.Index P is exported according to formula (2A)1.In Fig. 10,
Along transverse axis obtain subject age, along the longitudinal axis obtain derived from index P1.Wherein eight people are males, and six people are women,
Age range is from 30 to seven teens.In Fig. 10, black diamonds are corresponding with male subject, open circles and female subjects
Correspond to (for then will be same with reference to figure 11).Experiment shows, in pre- dating (for example, 30 years old) or more than pre- dating
When, as subject age increases, index P1Tend to decline.This trend is considered as reflecting increasing of the muscle strength with the age
The actual trend for adding and declining.Equally from the fact that can be seen that index P1It is the abundant mark of subject's muscle strength situation
Will.
In Fig. 10, straight line 540 represents the index P of all ages and classes in experiment1Average value, and by formula y=ax+b tables
Show.In this formula, y represents index P1Value, x represent subject age, a and b are the coefficients for defining straight line 540.It is logical
Crossing above-mentioned experiment and finding straight line 540 using greater number of subject can make coefficient a and b value closer to reflection actual
Value.Although y is considered as x linear function herein, higher-order function (secondary or higher order letter that can also be using y as x
Number).
[export index P2]
Index P can be included based on index derived from filtering signal2.Index P2Such as it is given by：
P2=(acceleration maximum value data-acceleration of gravity)/(body weight × body fat rate),
It is,
P2=(ACCMAX-9.8)/(WEIGHT×BFPER). (3A)
Here, ACCMAXRepresent with m/s2For the acceleration maximum value data of unit, and the body fat rate BF of subjectPERIt is
The body fat mass of subject accounts for the body weight WEIGHT of subject ratio.Therefore, index P2Also can be expressed as：
P2=(acceleration maximum value data-acceleration of gravity)/body fat mass.
That is, formula (3A) can be rewritten as following formula (3B)：：
P2=(ACCMAX-9.8)/BFAMT. (3B)
Computation processor 12 can export index P according to formula (3A) or formula (3B)2.It is assumed that when according to formula (3A)
Or (3B) export index P2When, in advance by the body weight WEIGHT and body fat rate BF of subjectPEROr the body fat of subject
Fat quality BFAMTIt is fed to computation processor 12.
Index P2Represent the acceleration of the per unit body fat mass of the subject in being moved as the STS for assessing motion
Maximum.By the way that of short and small stature, muscular people is readily available high index P than other people2.Therefore, indices P2It may be used as
The mark of fat trend.
Figure 11 show based on by the acceleration maximum value data that above-mentioned experiment corresponding with Figure 10 obtains for it is multiple by
Index P derived from examination person2.In fig. 11, along transverse axis obtain subject age, along the longitudinal axis obtain derived from index P2.With
Applied to index P1Similar process can be applied to index P2；Thus, it is possible to from the index P found for multiple subjects2Lead
Go out its age and index P2Between relational expression.
[export index P3]
Index P can be included based on index derived from filtering signal3.Waveform export based on the filtering signal during assessment
Index P3.For example, according to following formula (4A), (4B) or (4C) gauge index P3。
P3=kB1(ACCMAX-9.8)-kB2·Δt (4A)
P3=kB1(ACCMMAx-9.8)/Δt (4B)
P3=kB1/Δt (4C)
Symbol kB1And kB2Represent pre-defined positive coefficient.The above-mentioned reference chart 8 that Δ t is represented is mentioned.It should recognize
For the muscle strength (explosive force) of subject is higher, therefore it is faster to stand, acceleration maximum value data ACCMAXIt is bigger, the time
Δ t is shorter.Therefore, with index P1Equally, index P3Also depend on the muscle strength of measured, thus can as with measured
Muscle strength (muscle strength index) related index grasp.
[collection experimental data]
By using measuring apparatus MD, can be collected by mode as described below to perform experimental data.For example, surveying
Equipment MD design or the fabrication stage is measured, at it as by consumer (ordinary consumer and nursing staff and medical professional)
Before the product used, experimental data collection is carried out.Experimental data, which is collected, is related to repeat unit experiment.In unit experiment, give
One subject of dating, which performs, assesses motion, and for the subject, exports index P through the above way1、P2And P3。
The subject of a large amount of all ages and classes has carried out similar unit experiment.
The first to the n-th age group is defined as mutually exclusive.It is assumed here that n is more than 2 integer, and for any
Integer i, the age for belonging to (i+1) age group are higher than the age for belonging to the i-th age group.
For belonging to multiple index P derived from multiple subjects of i-th of age group1, AVE is used respectivelyP1[i] and σP1[i]
Represent the positive square root of average value and decentralization.
For belonging to multiple index P derived from multiple subjects of i-th of age group2, AVE is used respectivelyP2[i] and σP2[i]
Represent the positive square root of average value and decentralization.
For belonging to multiple index P derived from multiple subjects of i-th of age group3, AVE is used respectivelyP3[i] and σP3[i]
Represent the positive square root of average value and decentralization.
In experimental data collection, according to the unit experimental result of a large amount of subjects, (the classification of one group of grouped data is derived
Data set), it includes AVEP1[1]~AVEP1[n], σP1[1]~σP1[n], AVEP2[1]~AVEP2[n], σP2[1]~σP2[n],
AVEP3[1]~AVEP3[n] and σP3[1]~σP3[n].For export categorized data set calculating can with test equipment MD
Performed in separated computing device (not shown).
Categorized data set can export for masculinity and femininity respectively.However, in the following description, in order to simply retouch
State, unless otherwise indicated, it is assumed that all subjects are males, and categorized data set is one for male.
[the specifically used example of measuring apparatus]
With reference to figure 12, the description of the idiographic flow for the example for how using measuring apparatus MD will be provided now, is included how
Use categorized data set.The operation of step S11 to S15 in Figure 12 is performed after getting grouped data set.
First, in step s 11 so that subject and measuring apparatus MD enter measurement SBR.Prepare shape in measurement
In state, subject is sitting on predetermined chair, and the wrist of a face of measuring apparatus MD housing 3 and subject (or chest
Portion) contact and fasten.
Then, in step s 12, subject or other people to measuring apparatus MD input standby operation.Measuring apparatus MD energy
Enough identify whether to have inputted standby operation.Standby operation is, for example, the unshowned operation button for pressing and being arranged on housing 3
Operation.In this case, measuring apparatus MD only needs to monitor whether operation button is pressed.Operation button can be touched
One on panel.In another example scheduled operation can be input to and be wirelessly connected to measuring apparatus MD terminal and set by standby operation
Standby TM (see Figure 13).In this case, when receiving the input of scheduled operation, terminal device TM is by event transmission to measurement
Equipment MD, thus identify the input of standby operation.Measuring apparatus MD and terminal device TM each includes wireless processor (wireless mould
Block), and any information of switched wireless can be carried out by using these wireless processors.Terminal installation TM is, for example, information end
End, mobile phone or personal computer.So-called smart mobile phone belongs to information terminal, mobile phone or personal computer.
After or before the input of standby operation, subject takes the posture of forearm pectoral crosses.In standby operation
After input at once, in step s 13, subject performs above-mentioned assessment action.Computation processor 12 will can input standby
The time point that the time point of operation starts as the assessment phase.The assessment phase can have predetermined time span (for example, 10 seconds).
In this case, computation processor 12 begins to pass through time point of the scheduled time as commenting using from the time point of input standby operation
Estimate the time point that the phase terminates.For another example the phase of assessment can observe the time point of acceleration minimum Value Data in filtering signal
Terminate.
After terminating during assessment, in step S14, based on the sensing knot during the assessment phase come acceleration sensor 11
Fruit, computation processor 12 export These parameters P1~P3All or part of.Then, in step S15, computation processor 12
Classified based on the derived index in step S14 and grouped data set.Grouped data is assumed in the description classified below
Collection is stored in advance in the nonvolatile memory (not shown) for being incorporated to computation processor 12.
For example, it is contemplated that the age of subject belongs to the feelings of i-th of age group (wherein i is more than 1 but below n integer)
Condition.The information that the age of subject has previously been belonged to i-th of age group is fed to test equipment MD.
In this case, such as shown in Figure 14, in index P derived from step S141When being classified,
On giving index P1If meet：
P1＜ AVEP1[i]-2·σP1[i],
It is classified into the first kind；If it meets：
AVEP1[i]-2·σP1[i]≤P1≤AVEP1[i]-σP1[i],
It is classified into the second class；If it meets：
AVEP1[i]-σP1[i] ＜ P1＜ AVEP1[i]+σP1[i],
It is classified into the 3rd class；If it meets
AVEP1[i]+σP1[i] ＜ P1＜ AVEP1[i]+2·σP1[i],
It is classified into the 4th class；If it meets：
AVEP1[i]+2·σP1[i] ＜ P1,
It is classified into the 5th class.
It is worth (AVEP1[i]-2·σP1[i]), value (AVEP1[i]-σP1[i]), value (AVEP1[i]+σP1[i]), and value
(AVEP1[i]+2·σP1[i]) each age group is directed to as index P1Classification in pre-determined reference value.
Similarly, for example, in index P derived from step S142When being classified, on giving index P2If
Meet：
P2＜ AVEP2[i]-2·σP2[i],
It is classified into the first kind；If it meets：
AVEP2[i]-2·σP2[i]≤P2≤AVEP2[i]-σP2[i],
It is classified into the second class；If it meets：
AVEP2[i]-σP2[i] ＜ P2＜ AVEP2[i]+σP2[i],
It is classified into the 3rd class；If it meets：
AVEP2[i]+σP2[i]≤P2≤AVEP2[i]+2·σP2[i],
It is classified into the 4th class；If it meets：
AVEP2[i]+2·σP2[i] ＜ P2,
It is classified into the 5th class.
It is worth (AVEP2[i]-2·σP2[i]), value (AVEP2[i]-σP2[i]), value (AVEP2[i]+σP2[i]), and value
(AVEP2[i]+2·σP2[i]) each age group is directed to as index P2Classification in pre-determined reference value.
Similarly, for example, in index P derived from step S143When being classified, on giving index P3If
Meet：
P3＜ AVEP3[i]-2·σP3[i],
It is classified into the first kind；If it meets：
AVEP3[i]-2·σP3[i]≤P3≤AVEP3[i]-σP3[i],
It is classified into the second class；If it meets：
AVEP3[i]-σP3[i] ＜ P3＜ AVEP3[i]+σP3[i],
It is classified into the 3rd class；If it meets：
AVEP3[i]+σP3[i]≤P3≤AVEP3[i]+2·σP3[i],
It is classified into the 4th class；If it meets：
AVEP3[i]+2·σP3[i] ＜ P3,
It is classified into the 5th class.
It is worth (AVEP3[i]-2·σP3[i]), value (AVEP3[i]-σP3[i]), value (AVEP3[i]+σP3[i]) and value
(AVEP3[i]+2·σP3[i]) each age group is directed to as index P3Classification in pre-determined reference value.
The information that measuring apparatus MD can be identified includes：Derived information and the classification in step S15 in step S14
As a result, terminal installation TM can be transmitted wirelessly to from measuring apparatus MD, can also be shown in including liquid crystal display panel etc.
On display screen.Here, display screen can be the display screen that can be arranged on measuring apparatus MD housing 3, Huo Zheke
With the display screen being provided on terminal device TM.The content shown on the display screen is by being arranged on measuring apparatus MD or end
Display controller (not shown) in end equipment TM controls.
For example, work as index P1When being classified into three classes, the instruction of average muscle intensity is shown on the display screen.Work as finger
Mark P1When being classified into four classes, instruction of the display better than average muscle intensity on the display screen.As index P1It is classified into
During five classes, the instruction of the muscle strength still better than the 4th class is shown on the display screen.As index P1When being classified into four classes,
Instruction of the display better than average muscle intensity on the display screen.As index P1When being classified into the first kind, on the display screen
The instruction of display muscle strength more worse than the second class.As index P1When being classified as the first kind or the second class, it can show
The message for recommending appropriate exercise therapy etc. is shown on screen.Similarly for index P2Or P3, similarly control on the display screen
The content of display.Although in the above-mentioned methods, being classified in five classifications, the categorical measure for being used to classify can not
It is five.
Although in the example of aforesaid operations, it is assumed that in filtering, the export of index in step S14 and step S15
Classification all performs in measuring apparatus MD, but they all or part of can perform in terminal device TM.At this
In the case of kind, part or all of computation processor 12 is considered as being present in terminal installation TM.Held on terminal device TM
In the case of row classification, grouped data set is fed into terminal device TM in advance.
In this embodiment, muscle strength etc. can be measured using easy configuration, including from acceleration sensing
The use of the sensing data of device.Easy configuration helps so that facility compact and cheap.From the perspective of subject (user),
By the habitual action such as standing from chair, muscle strength etc. can be easily measured, therefore can be easily with normal
The mode of rule causes muscle strength to visualize.Therefore, it is possible to detect not getting enough athletic exercise, quality of making the life better (QOL), it is proposed that tested
Person carries out enough amounts of exercise etc., to be not limited on bed, is expected so as to improve healthy living, thus reduces medical treatment cost.
<<Second embodiment>>
Second embodiment of the present invention will be described.Second embodiment is based on first embodiment.Accordingly, with respect to not carrying especially
And second embodiment these features, the associated description provided for first embodiment is otherwise equally applicable unless inconsistent
In second embodiment.For these features as the second embodiment of contradiction between first and second embodiment, with for
The description that two embodiments provide is defined.Second embodiment is related to some modifications based on the technology with reference to described by first embodiment
Or the technology used.
It can use and not sense the acceleration transducer of acceleration of gravity as acceleration transducer 11, in the case,
In the correlation formula mentioned with reference to first embodiment, (ACCMAX- 9.8) will be by ACCMAXReplace.In this case, the first He
Secondary extremal is all maximum；Even so, by with similar mode in first embodiment, using the first extreme value as acceleration
Maximum value data processing.
Assuming that assessing motion always in the case where being performed parallel to the Z axis of vertical direction, acceleration transducer 11 can
Be only sense Z-direction on acceleration single-axis acceleration sensors.In this case, in the Z-direction sensed
Acceleration is readily able to be handled as acceleration absolute value.
It can be seen that measuring apparatus MD includes index equipment leading out, the index equipment leading out includes the He of acceleration transducer 11
Computation processor, computation processor therein based on the sensing result for carrying out acceleration sensor 11 export index (for example,
P1、P2Or P3).Can build includes the wearable device of the index equipment leading out.Wearable device can also include attachment structure
Part, the attachment members allow for index equipment leading out to be attached to the human body as subject.Set according to the measurement of first embodiment
Standby MD is a kind of wearable device, and attachment strip 4 is corresponding with attachment members.Attachment members are not limited to attachment strip 4, but can be with
Be allow measuring apparatus MD be attached to human body as subject anything.
Index equipment leading out can be incorporated into the mobile device of such as mobile phone or smart mobile phone.In such case
Under, assessment motion can be performed in the case where mobile device is maintained in palm so that it is maintained at the fixed position of front.
It can be seen that wearable device is a kind of mobile device.Mobile device includes parts group 1 and circuit board and formed to be used as circuit
The shell of the mobile device of plate 2 and shell 3.Mobile device includes：Any information can be shown (including by index equipment leading out
Derived index P1~P3) display screen, the communication unit that can be communicated via the network of such as internet with another information equipment
Member including audio output unit, realization and the telephone bill of the voice communication of partner appliance that the loudspeaker of audio etc. can be exported
Member etc..Mobile device is usually provided with acceleration transducer, and it is used for the inclination of sensing movement equipment, in this case, uses
Can be with twice acceleration transducer 11 in the acceleration transducer of the inclination of sensing movement equipment etc..Computation processor 12 is waited to hold
Capable processing then can be by setting microcomputer in the mobile device to perform.
When perform assess motion when, acceleration transducer 11 is positioned at being able to detect that due to the movement of subject and caused
Acceleration precalculated position, in the above description, the precalculated position is assumed to the front of subject.However, this is not intended to
The front that precalculated position is restricted to subject；Precalculated position or can before the chest of subject or throat it
Before.
It can be constructed as such as according to the target device (index equipment leading out, wearable device or mobile device) of the present invention
The hardware of integrated circuit, or the combination as hardware and software.As target device can perform function whole or one
Any specific function of dividing can be written into program, and the program can be stored in flash memory, flash storage
Device can be installed on the target device so that when program in program execution apparatus (for example, on the target device micro- can be installed
Type computer) on when running, these specific functions will be performed.The program can store or fixed to any recording medium.Journey
The recording medium that sequence is stored or is fixed to may be mounted at or be connected to the equipment separated with target device (for example, server is set
It is standby) on.
<<The relevant research of the present invention>>
It is the research for the invention described above realized in the above-described embodiments below.
According to an aspect of the present invention, a kind of index equipment leading out includes：Acceleration transducer (11), it is used to sense and added
Speed；And computation processor (12), it is used for the muscle that human body is exported based on the sensing result for carrying out acceleration sensor
The relevant muscle strength index of strength is (for example, P1Or P3)。
Therefore can using the easy configuration used for the sensing result being related to come acceleration sensor, come obtain on
The index of muscle strength.Easy configuration helps so that facility compact and cheap.It is compact and can bear the day for promoting the equipment
Often use, and cause user to be easy to routinely visualize their muscle strength.Therefore, it is possible to detect not getting enough athletic exercise, change
Kind QOL (quality of life), it is proposed that subject (user) carries out enough amounts of exercise etc., to be not limited on bed, so as to improve
Healthy living is expected, thus reduces medical treatment cost.
Reference numerals list
MD measuring apparatus
1 parts group
2 circuit boards
3 shells
4 attachment strip
11 acceleration transducers
12 computation processors
Claims (11)
1. a kind of index equipment leading out, including：
For sensing the acceleration transducer of acceleration；And
Computation processor, it is relevant that it is used for the muscle strength based on the sensing result export human body from the acceleration transducer
Muscle strength index.
2. index equipment leading out according to claim 1, wherein
The computation processor exports the muscle strength index based on acceleration signal, and the acceleration signal is based in people
Body performs the sensing result from the acceleration transducer in the assessment phase of predetermined motion.
3. index equipment leading out according to claim 2, wherein
The computation processor exports the flesh by using the acceleration maximum value data included in the acceleration signal
Meat strength index.
4. index equipment leading out according to claim 3, wherein
The computation processor exports the muscle strength index by using data below：
The acceleration maximum value data, the body weight of human body and the body fat rate of human body, or
The acceleration maximum value data, the body weight of human body and the body fat mass of human body.
5. index equipment leading out according to claim 3, wherein
The computation processor exports the muscle strength index by using data below：
The muscle percentage of the acceleration maximum value data, the body weight of human body and human body, or
The muscle mass of the acceleration maximum value data and human body.
6. the index equipment leading out according to claim 4 or 5, wherein
The acceleration maximum of the per unit muscle mass of human body of the muscle strength index exporter export in predetermined motion
As the muscle strength index.
7. the index equipment leading out according to any one of claim 3 to 6, wherein
The acceleration sensed by the acceleration transducer includes：
The caused component of acceleration due to human motion,
The component of acceleration as caused by gravity, and
The computation processor exports muscle strength index by using following value：The value passes through maximum from the acceleration
Value Data subtracts the component of acceleration caused by gravity and obtained.
8. the index equipment leading out according to any one of claim 2 to 7, wherein
The acceleration transducer senses acceleration respectively along three orthogonal axles, and
Acceleration signal for exporting the muscle strength index represents the acceleration formed by the acceleration along three axles
The size of vector.
9. the index equipment leading out according to any one of claim 2 to 8, wherein
The predetermined motion includes the motion that human body stands up.
10. a kind of wearable device, it includes the index equipment leading out according to any one of claim 1 to 9.
11. a kind of mobile device, it includes the index equipment leading out according to any one of claim 1 to 9.
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| JP2015114838A JP6793285B2 (en) | 2015-06-05 | 2015-06-05 | Index derivation device, wearable device and portable device |
| PCT/JP2016/066050 WO2016194908A1 (en) | 2015-06-05 | 2016-05-31 | Index derivation device, wearable device, and portable device |
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| CN108877888A (en) * | 2018-07-03 | 2018-11-23 | 杭州易脑复苏科技有限公司 | A kind of motor function appraisal procedure and device |
| CN113244595A (en) * | 2021-04-23 | 2021-08-13 | 南京布袋健康管理有限公司 | Action explosive force analysis method and system |
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| JP6981896B2 (en) * | 2018-03-06 | 2021-12-17 | 株式会社富士通エフサス | Information processing device, registration method and registration program |
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| Publication number | Publication date |
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| EP3305198A4 (en) | 2019-01-23 |
| KR102102515B1 (en) | 2020-04-20 |
| EP3305198A1 (en) | 2018-04-11 |
| JP6793285B2 (en) | 2020-12-02 |
| CN107708561B (en) | 2021-02-05 |
| WO2016194908A1 (en) | 2016-12-08 |
| JP2017000239A (en) | 2017-01-05 |
| US10561343B2 (en) | 2020-02-18 |
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| KR20170139645A (en) | 2017-12-19 |
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